BLACKSBURG, Va., April 19, 2013 – A new title from Springer explores just how susceptible our genomes are to environmental and cellular stress. Stress-Induced Mutagenesis, edited by David Mittelman, associate professor at Virginia Bioinformatics Institute, provides key evidence for and the molecular details of stress-induced genetic and epigenetic mutation, integrating cross-disciplinary observations from a number of species and biological systems, including human. The book promises to be the definitive volume on stress-induced mutagenesis.
"While the potential impacts on human health are clearly very important, the evolutionary implications of stress-induced mutagenesis are both fascinating and profound, and have potential to upset some well-entrenched dictums and dogma," said John Fondon III, an assistant professor and evolutionary geneticist at the University of Texas at Arlington.
Stress-induced mutagenesis pathways suggest interesting implications for genome evolution but also for human medicine. A better understanding of stress-induced mutagenesis could enable gains in the treatment and management of cancer, as well as other human disorders that result from damaged or unstable genomes.
The Virginia Bioinformatics Institute at Virginia Tech is a premier bioinformatics, computational biology, and systems biology research facility that uses transdisciplinary approaches to science, combining information technology, biology and medicine. These approaches are used to interpret and apply vast amounts of biological data generated from basic research to some of today’s key challenges in the biomedical, environmental, and agricultural sciences. With more than 240 highly trained multidisciplinary, international personnel, research at the institute involves collaboration in diverse disciplines such as mathematics, computer science, biology, plant pathology, biochemistry, systems biology, computational immunology, statistics, economics, synthetic biology and medicine. The large amounts of data generated by this approach are analyzed and interpreted to create new knowledge that is disseminated to the world’s scientific, governmental and wider communities.
April 05, 2013